An Inverted Pendulum does basically the same thing.
一个倒立摆在本质上就是做相同的事情。
Single inverted pendulum is a non-linear, unstable system.
倒立摆是非线性、不稳定的系统。
The balance control of a single inverted pendulum system is focused.
对单级倒立摆系统的平衡控制问题进行了研究。
The appliance result in inverted pendulum shows that it is effective.
在倒立摆试验中的应用结果表明了该方法的有效性。
Then the neural network based inverse model of the inverted pendulum is trained.
然后，以这些数据为基础训练倒立摆的神经网络逆模型；
An inverse controller based on neural network for single inverted pendulum is proposed.
给出了单级倒立摆的一种神经网络逆模控制方案。
The controllers do not rely on the models of the inverted pendulum and chaotic systems.
控制器不依赖于倒立摆系统和混沌系统的模型函数。
This paper presents a design method of an inverted pendulum microcomputer control device.
本文介绍了一个倒立摆微机控制装置的设计方法。
First of all, this thesis analyses the structure and mathematic model of Inverted pendulum system.
本文首先对倒立摆系统的结构和数学模型进行了分析、建模。
The folded pendulum discussed in this paper is made of a positive pendulum and an inverted pendulum.
通过简化的折叠摆模型，深入研究了折叠摆对地壳振动的响应特性。
This paper introduces the Control System of the double inverted pendulum based on SPCE061A single chip.
本文介绍了一种基于SPCE061A单片机的二级倒立摆控制系统。
The stable control of the inverted pendulum system is studied with the nonlinear tracking control method.
应用非线性系统跟踪控制方法对倒立摆系统的控制进行研究。
A fuzzy strategy based on dynamic query table and its application on rotary inverted pendulum are studied.
研究基于动态查询表的模糊控制策略及其在转臂式倒立摆中的应用。
A nonlinear sliding mode control method is presented for single inverted pendulum position tracking control.
针对倒立摆的位移控制，提出一种非线性滑模变结构控制方法。
The control system design for a parallel inverted pendulum on an inclined rail has been successfully implemented.
本文介绍了一个小车放在倾斜轨道上的平行倒立摆数字控制系统。
Two methods of controlling a double inverted pendulum are presented: fuzzy logic control and hierarchical fuzzy control.
阐述了基于二级倒立摆的两种模糊控制方法，即模糊逻辑控制方法和分层模糊控制方法。
Debugging and experiment of single inverted pendulum is accomplished, function of following and positioning was realized.
完成单级倒立摆系统的调试和实验，实现了倒立摆位置随动以及定位功能。
Example Pedagogics is proved to be a good method, so an example of inverted pendulum regulator is designed for this purpose.
范例教学是实践证明很成功的教学方法，为了达到教学目的，设计了一个倒立摆调节器范例。
The controller of inverted pendulum is designed by using the loop shaping technique. GA is adopted to optimize the weighing functions.
该方法采用环路成形技术设计倒立摆控制器，对权函数采用遗传算法进行优化。
Presents a method of training a feedforward neural network using supervised learning scheme to balance an inverted pendulum and cart system.
采用平衡的倒摆小车所记录下来的数据，经处理后用有师学习方法来训练前馈神经网络。
Inverted pendulum is an unstable, multi-variable, nonlinear and strong-coupling system, so a valid control method must be used to keep it stable.
倒立摆是一个不稳定、多变量、非线性和强耦合系统，因此只有采取行之有效的控制方法才能使之稳定。
In the study of modern control theories, pole assignment and LQR are designed on inverted pendulum systems, and the MATLAB simulation is researched.
利用息现代控制理论，针对倒立摆系统研究了极点配置方法和线性二次型最优控制方法，并利用MATLAB进行了仿真研究。
In this paper, T-S fuzzy controller is applied to the single inverted pendulum system, which illustrate effectiveness of the stability design method.
同时给出t - S模糊控制器应用于单倒立摆系统的一个实例，并用文中的稳定性分析方法分析它的系统稳定性。
The double inverted pendulum is modeled and the controller is designed by using quadratic optimal control theory to its equilibrium control question.
针对二级倒立摆系统的平衡控制问题，对其进行数学建模，应用二次型最优控制理论设计了控制器。
Firstly, the simplified model of the single inverted pendulum system is analyzed, and then designed a digital optimal controller with integral function.
通过对单级倒立摆系统的简化模型分析，设计了带有积分环节的数字最优控制器。
An inverted pendulum example of non-fragile controller design of uncertainty T-S fuzzy systems shows the feasibility and the effectiveness of the method.
通过对一级倒立摆的不确定模糊非脆弱控制器设计的实例，表明了设计方法的可行性和有效性。
In the neural network control area, the control of inverted pendulum is always a typical hot but difficult problem for its representative and complexity.
在神经网络控制领域，倒立振子控制问题因为其代表性和复杂性，一直是一个典型的热点和难点问题。
In this paper, we present a method of training a feedforward neural network using supervised learning scheme to balance an inverted pendulum and cart system.
本文将专家在平衡—模拟倒摆小车时记录下来的数据经处理后，用监督式学习的方法训练一前置式神经网络。
In this paper, we present a method of training a feedforward neural network using supervised learning scheme to balance an inverted pendulum and cart system.
本文将专家在平衡—模拟倒摆小车时记录下来的数据经处理后，用监督式学习的方法训练一前置式神经网络。
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